Beate’s research interests cover a wide variety of data analysis methods, from hypothesis testing, Bayesian statistics to machine learning, and optimal experimental design. Beate has experience working with pharmaceutical data, insurance data, and data in the social sciences.

Before joining the IMI, Beate worked as a Senior Research Statistician on pre-clinical data at AstraZeneca — a large pharmaceutical company. As part of Discovery Sciences, she designed and analysed experiments across the pre-clinical pipeline — from hit identification to animal experiments.

Her background is in mathematical statistics in which she completed a PhD at University College London (UCL) at the Department for Statistical Science. In her PhD, Beate worked on improving our understanding of community structure in large networks.